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- W2217381693 abstract "State of the art benchmarks for Twitter Sentiment Analysis do not consider the fact that for more than half of the tweets from the public stream a distinct sentiment cannot be chosen. This paper provides a new perspective on Twitter Sentiment Analysis by highlighting the necessity of explicitly incorporating uncertainty. Moreover, a dataset of high quality to evaluate solutions for this new problem is introduced and made publicly available." @default.
- W2217381693 created "2016-06-24" @default.
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- W2217381693 date "2015-09-25" @default.
- W2217381693 modified "2023-09-27" @default.
- W2217381693 title "Sentiment Uncertainty and Spam in Twitter Streams and Its Implications for General Purpose Realtime Sentiment Analysis" @default.
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